Which Fabric UI component would you use to examine MLflow experiments?

• A. Notebooks
• B. Experiments
• C. Models
• D. Reports

Answer: (B)

The essential idea is that MLflow experiments are the unit you inspect to understand how different runs of a model performed. In MLflow, an experiment groups multiple runs, and each run records the parameters used, the metrics achieved, and any artifacts produced. The Fabric UI component labeled Experiments is designed to list these experiments and let you open a specific one to see its runs, compare metrics across those runs, and explore the associated parameters and artifacts. This makes it the natural place to examine MLflow experiments in Fabric UI.

Notebooks are for interactive code and experimentation, Models handle different versions of deployed or registered models, and Reports are for presenting analyses and results. So when you want to drill into MLflow experiments, you go to the Experiments section.